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Modelling and Model Reduction–State-Space Truncation

  • David J. N. Limebeer
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 367)

Abstract

The approximation of high-order plant and controller models by models of lower-order is an integral part of control system design and analysis. Until relatively recently model reduction was often based on physical intuition. For example, chemical engineers often assume that mixing is instantaneous and that packed distillation columns may be modelled using discrete trays. Electrical engineers represent transmission lines and the eddy currents in the rotor cage of induction motors by lumped circuits. Mechanical engineers remove high-frequency vibration modes from models of aircraft wings, turbine shafts and flexible structures. It may also be possible to replace high-order controllers by low-order approximations with little sacrifice in performance.

Keywords

Singular Perturbation Model Reduction Hankel Operator Modal Truncation Balance Realization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer London 2007

Authors and Affiliations

  • David J. N. Limebeer
    • 1
  1. 1.Imperial College London, South Kensington Campus, London, SW7 2AZ 

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